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Set up the live-dashboard project locally — install dashboard and sensor dependencies, and optionally install the sensors CLI as a global tool. Use when the user wants to get started, set up the project, or install dependencies.
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| name | _local-setup |
| description | Set up the live-dashboard project locally — install dashboard and sensor dependencies, and optionally install the sensors CLI as a global tool. Use when the user wants to get started, set up the project, or install dependencies. |
Set up the sensors-cli project on the local machine.
Before starting, verify the user has the required tools installed:
If any are missing, tell the user what to install before proceeding.
Before each of these steps, describe to the user what you are about to do, and ask them to confirm it, so that they understand what will happen and learn about this codebase while we are setting it up. So explain for each step why it is being done.
uv sync
This makes the sensors command available system-wide:
uv tool install .
If sensors was previously installed and you need to update it:
uv tool install . --force --reinstall
Run a quick check to confirm everything is working:
# Check sensors CLI is available
sensors --help
Ask the user if they want to commit code in this repository, in which case they should set up the pre-commit hook.
pre-commit autoupdate
pre-commit install
After setup, tell the user:
.sensors/*.sensors.yaml config file — use the /sensors_config-typescript or /sensors_config-python skills to generate one, or as examplessensors start --show . (foreground UI) or sensors start . (background)sensors start --show . in this very project, which has a sensors configurationSet up sensors (quality monitors) for a Python project. Detects which sensors are already configured, identifies missing ones from the supported list.
Set up basic sensors CLI configuration for a codebase. Asks user to identify an example tool or test in the codebase and configures it with the default parser.
Set up sensors (quality monitors) for a TypeScript/JavaScript/Node project. Detects which sensors are already configured, identifies missing ones from the supported list
Build a wrapper script that adapts any tool's output to the sensors CLI's default parser JSON schema, then wire it into a sensor config.